Future Tech Jobs
Future Tech Jobs
Design and build end-to-end applications that integrate AI-driven physics models into real-world engineering workflows. Collaborate with customers and technical teams to prototype, deploy, and iterate tools that solve complex engineering challenges across industries like aerospace, energy, and semiconductors. Work across the full stack with a focus on backend services, cloud infrastructure, and customer-driven product development.
A Forward Deployed Software Engineer at PhysicsX works directly with customers and engineering teams to build and deploy AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. The role involves full-stack development, rapid prototyping, and on-site collaboration, with a focus on delivering production-grade tools using physics AI models. Engineers contribute to backend services, APIs, and platform features while shaping product direction based on real-world customer needs.
Design and develop novel Transformer and GNN-based foundation models that generalize across relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference optimization—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to build a unified AI model for enterprise data.
Conduct performance analysis and optimization of GPU communication libraries on large multi-GPU and multi-node HPC clusters. Work across the full hardware-software stack to benchmark, triage, and improve performance for deep learning and HPC applications. Develop tools to analyze performance data and collaborate with distributed teams to shape future library roadmaps.
£130,000.00 GBP10% BonusOnsite WORKINGLocation: Newcastle Upon Tyne, North East - United Kingdom Type: PermanentAI Engineer - Software Development Team LeadSalary: Up to£130,000.00+ Excellent BenefitsLocation: Newcastle (Onsite)We're currently supporting a specialist technology consultancy as they continue to grow the leadership of...
The role involves designing and managing data-driven trading models for global macroeconomic assets, primarily using futures and foreign exchange. Responsibilities include developing systematic trading strategies, applying advanced quantitative methods, and collaborating in a research-driven environment to enhance alpha models and portfolio construction techniques.
The Infrastructure Team Lead will lead a team of engineers while driving technical strategy across the full infrastructure stack, from bare metal GPU clusters to internal services. The role involves hands-on work with infrastructure-as-code (Terraform, Ansible, Helm), automation, and operational reliability, alongside coaching engineers and shaping career development. This position is central to scaling and stabilising systems that support AI research and development in a high-impact engineering environment.
Lead the delivery of complex security initiatives in a fast-moving AI-driven drug discovery environment, bridging security strategy and engineering execution. Translate CISO objectives into technical roadmaps, secure AI models and pipelines, and build automated dashboards for risk visibility. Partner closely with ML and engineering teams across the Alphabet/Google ecosystem to balance security, compliance, and research velocity.
This role involves leading the strategy and execution for launching local payment methods across Amazon's global marketplace, with a focus on improving customer payment experiences in Europe. The Product Manager will use AI and data-driven insights to identify opportunities, define technical requirements, and collaborate with fintechs, banks, and internal teams. Responsibilities include managing end-to-end product delivery, setting success metrics, and ensuring scalable, secure payment integrations.
Develops generative and predictive models of cellular behaviour using single-cell multi-omics data, including scRNA-seq and scATAC-seq. Builds scalable Nextflow pipelines and integrates multimodal datasets with proteomics and imaging. Works closely with wet lab and ML teams to design experiments and validate biological relevance of models.
This role involves defining and evolving enterprise architecture strategies with a focus on AI, cloud-native systems, and digital innovation. The architect will design scalable AI and data platforms, lead technical direction across cloud and microservices environments, and translate complex technologies into strategic roadmaps. Key responsibilities include assessing emerging trends like Agentic AI and vector databases, advising senior leadership, and establishing reusable architectural patterns across large-scale transformation programmes.
Lead a team of applied scientists focused on computer vision and machine learning, developing production-grade models for document understanding, vision-language systems, and efficient on-device inference. Work at the intersection of research and product, advancing state-of-the-art techniques like distillation and quantisation while shipping models into global identity verification systems used by banks and fintechs.
Lead technical engagements with defence-sector partners to design and implement cloud solutions on AWS, focusing on AI/ML, HPC, digital engineering, and data platforms. Translate mission-critical requirements into secure, scalable architectures while advising on compliance and modernization strategies. Drive adoption across systems integrators and technology partners through executive-level collaboration and architectural leadership.
This role involves defining the end-to-end architecture for remote assistance in Wayve’s Robotaxi system, integrating vehicle telemetry with real-time human operator support. The Tech Lead will establish safety-critical system requirements, lead cross-team technical execution, and shape the technical roadmap across onboard and offboard systems. The role emphasizes low-latency, reliable, and safe human-in-the-loop operations within an AI-driven autonomous driving environment.
This role involves leading the development and improvement of autonomy performance for Wayve's Robotaxi, focusing on metrics, issue detection, and cross-team collaboration. You will work hands-on with data and code to ensure the product meets high standards and is ready for public release, with a unique opportunity to shape the future of autonomous driving systems.
